Research On Demand Responsive Transit Cooperative Combination Scheduling

With the increasing demand of people for travel efficiency and travel experience,people's travel demand tends to be more diversified and individualized.The traditional single service supply mode of urban public transport can not effectively meet the differentiated travel demand.Demand Response Transit(DRT)system is a diversified urban public transport service model,which can meet the increasingly beautiful travel needs of people.In the existing theoretical research of demand-responsive public transport,there are often stringent boundary conditions,such as single vehicle type,single service,single vehicle scheduling form,etc.There are few combinatorial optimal scheduling,and seldom consider the collaborative design of combinatorial scheduling schedules.Based on the above research background,this paper proposes a demand-responsive bus cooperative scheduling research.This paper summarizes the research status of domestic and foreign research from two aspects of demand-responsive public transportation and vehicle routing.On this basis,the paper first introduces the composition and working process of the DRT collaborative combination scheduling system.The key issues of DRT coordinated combination scheduling are analyzed in seven aspects:describes the long-distance cart path problem,the long-distance cart site clustering method,the long-distance bus station departure schedule,the passenger demand point screening mechanism,Connection car path problem description,Connection car departure timetable and the passenger demand point time-windows.Secondly,the DRT single-point cooperative combination scheduling model is constructed.The hybrid particle swarm optimization algorithm is used to solve the model.The DRT single-point cooperative combination scheduling problem is extended to DRT multi-point cooperative combination scheduling problem,and the solution idea of multi-point cooperative combination scheduling model is proposed.The traditional hybrid particle swarm optimization algorithm is used to solve the model of the shuttle car path in the DRT single-point cooperative combination scheduling model.The improved algorithm increases the path dimension reduction and the genetic mutation particle update step,and uses the control variable method to perform the particle update step pair algorithm.According to the performance impact analysis,the optimized particle swarm optimization algorithm with path dimension reduction and gene mutation update step is 20.45% higher than the original code.Finally,taking the eastern area of ShanWei to the railway station as an example,the operability and scientificity of the DRT collaborative combination scheduling model are verified.The results show that the DRT cooperative combined scheduling model can solve the reasonable combined dispatching mode of vehicles and carts quickly in the areas where the demand is not concentrated,so as to achieve the optimal cost of enterprises.